Neural network library for digit classification powered by cuda
The library was built to work with MNIST dataset. python-mnist data parser was used to load the dataset.
The library uses Numba which supports CUDA-enabled GPUs with compute capability 2.0 or above with an up-to-date Nvidia driver. See the list of CUDA-enabled GPU cards
Trained weights are located in weights directory. Call load_weights method to use them.
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Dynamic Attentive Graph Learning for Image Restoration This repository is for GATIR introduced in the following paper: Chong Mou, Jian Zhang, Zhuoyuan
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Configure SRX interfaces with Scrapli Overview This example will show how to configure interfaces on Juniper's SRX firewalls. In addition to the Pytho
NEW RELEASE How Nebullvm Works • Tutorials • Benchmarks • Installation • Get Started • Optimization Examples Discord | Website | LinkedIn | Twitter Ne
datasketch: Big Data Looks Small datasketch gives you probabilistic data structures that can process and search very large amount of data super fast,
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